{#
 This Source Code Form is subject to the terms of the Mozilla Public
 License, v. 2.0. If a copy of the MPL was not distributed with this
 file, You can obtain one at https://mozilla.org/MPL/2.0/.
#}

{% extends "foundation/annualreport/2024/article/base.html" %}

{% block page_title_full %}Rise25 Winners - State of Mozilla 2024{% endblock %}

{% set article_hash = '#ecosystem' %}
{% set article_read_time = '2 min read' %}
{% set article_tag_label = 'An Expanding Ecosystem' %}
{% set article_title = 'Rise25 Winners' %}

{% block article_content %}
  <div class="m24-c-content">
    <div class="m24-c-ar-article-section">
      <div class="m24-c-ar-article-section-title">
        {{ resp_img(
          url='img/foundation/annualreport/2024/articles/7-4-deborah-300.jpg',
          srcset={
            'img/foundation/annualreport/2024/articles/7-4-deborah-600.jpg': '2x',
          },
          optional_attributes={
            'height': '300',
            'width': '300',
          },
        ) }}
        <h2 class="m24-t-sm">Deborah Raji</h2>
      </div>
      <div class="m24-c-ar-article-section-text">
        <p>
          Deborah Raji is a Mozilla fellow and CS PhD student at University of California, Berkeley, who is interested in questions on algorithmic auditing and evaluation. In the past, she worked closely with the Algorithmic Justice League initiative to highlight bias in deployed AI products. She has also worked with Googleʼs Ethical AI team and been a research fellow at the Partnership on AI and AI Now Institute at New York University working on various projects to operationalize ethical considerations in ML engineering practice. Recently, she was named to Forbes 30 Under 30, MIT Tech Review 35 Under 35 Innovators and TIME100 Most Influential People in AI.
        </p>
      </div>
    </div>
  </div>

  <div class="m24-c-content">
    <div class="m24-c-ar-article-section">
      <div class="m24-c-ar-article-section-title">
        {{ resp_img(
          url='img/foundation/annualreport/2024/articles/7-4-manuel-300.jpg',
          srcset={
            'img/foundation/annualreport/2024/articles/7-4-manuel-600.jpg': '2x',
          },
          optional_attributes={
            'height': '300',
            'width': '300',
          },
        ) }}
        <h2 class="m24-t-sm">Manuel Sainsily</h2>
      </div>
      <div class="m24-c-ar-article-section-text">
        <p>
          Manuel Sainsily is a Senior AI Advocate at Unity, and XR Instructor at McGill University & UMass Boston. Born in Guadeloupe, and Canadian citizen based in Montreal, he is a trilingual public speaker, designer, and educator with over a decade of experience who champions the responsible use and understanding of artificial intelligence. From delivering a TED talk and speaking at worldwide tech conferences, to producing events with Meta and OpenAI, Manuel amplifies the conversation around emerging technologies and culture preservation through powerful keynotes and curated events.
        </p>
      </div>
    </div>
  </div>

  <div class="m24-c-content">
    <div class="m24-c-ar-article-section">
      <div class="m24-c-ar-article-section-title">
        {{ resp_img(
          url='img/foundation/annualreport/2024/articles/7-4-gemma-300.jpg',
          srcset={
            'img/foundation/annualreport/2024/articles/7-4-gemma-600.jpg': '2x',
          },
          optional_attributes={
            'height': '300',
            'width': '300',
          },
        ) }}
        <h2 class="m24-t-sm">Gemma Galdon-Clavell</h2>
      </div>
      <div class="m24-c-ar-article-section-text">
        <p>
          Dr. Gemma Galdon-Clavell is a pioneer and global force in AI safety and auditing, ensuring that machine learning tools truly serve society. She is the founder and CEO of Eticas.ai, a venture-backed organization that identifies, measures and corrects algorithmic vulnerabilities, bias and inefficiencies in predictive and LLM tools. Eticas’ software, the ITACA platform, is the first solution to automate impact analysis and monitoring, ensuring that AI systems are high performing and safe, explainable, fair and trustworthy.
        </p>

        <p>
          Dr. Galdon-Clavell’s impactful work – and passion for disrupting the status quo – earned her recognition as a Hispanic Star Awardee at the United Nations in 2023, an Ashoka Fellow in 2020 and a finalist at the EU Prize for Women Innovators awarded by the European Commission in 2017. In 2023 the BBC acknowledged her as one of the “people changing the world” and in 2024 she was honored by Forbes Women as one of the “35 Leading Spanish Women in Technology”, praised as “a pioneer in algorithmic auditing software”.
        </p>

        <p>
          Dr. Galdon-Clavell is an active advisor to international and regional institutions such as the United Nations (UN), the Organization for Economic Cooperation and Development (OECD), European Institute of Innovation and Technology (EIT) and the European Commission, among others. She is also a sought-after speaker, with recent engagements at high-level fora like the US-EU Trade and Technology Council (TTC), re:publica or TEDx. Her comments on AI developments have been captured in Wired, Business Insider, Forbes and Computer Weekly.
        </p>
      </div>
    </div>
  </div>
{% endblock %}
